GTM Engineer (Data & AI)

Autonomous Revenue Engine

We are seeking a GTM Engineer (Data & AI) to lead the architecture of our autonomous revenue engine. This role focuses on building the Data and Context layers that serve as the "brain" for our AI strategy.

Requirements

• 5+ years in GTM Systems, RevOps, or Data Engineering with a focus on technical workflows.
• A technical degree or equivalent background is preferred.
• Hands-on experience with modern orchestration platforms and understanding how to orchestrate LLMs, enrichment waterfalls, and agentic workflows.
• Track record of shipping GTM logic, such as scoring, routing, and lifecycle automation, that measurably moved the needle on pipeline or retention.
• A structured approach to problem-solving and a natural instinct to simplify and automate manual processes rather than adding complexity.

Qualifications

• You have built complex data flows across Data Warehouses, APIs, and MCP servers and have hands-on experience building the context layers for AI judgment.

Skills

• Architect the GTM Intelligence Foundation.
• Design and manage a unified data layer that merges structured (DataLake/APIs/MCPs) and unstructured signals (Calls/Emails/Chats) for agentic reasoning and consumption.
• Engineer Agentic Workflows.
• Build autonomous systems that sit in the execution path of the funnel, blending probabilistic AI reasoning with deterministic logic to automate complex decisions across Marketing, Sales, and CX.
• Own the logic and technical setup for scoring and propensity models ensuring they are integrated into the agentic orchestration layer.
• Prototype and Scale GTM Innovation.
• Rapidly build and test new AI-native concepts and turn the successful ones into standard operating procedure.

Benefits

• Employee insurance premiums covered up to 90%.
• Stock options in LeanData for all full-time employees.
• Flexible PTO.
• 401K plan.